activity
20162022
most citedNetwork Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

742 citations · 1k across the 31 of their papers we have counts for

collaborators

42 papers

cs.CV2021

Occlusion-Aware Video Object Inpainting

Lei Ke, Yu-Wing Tai, Chi-Keung Tang

Conventional video inpainting is neither object-oriented nor occlusion-aware, making it liable to obvious artifacts when large occluded object regions are inpainted. This paper pre…

cs.CV2021133 cited

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang

This paper presents a simple yet effective approach to modeling space-time correspondences in the context of video object segmentation. Unlike most existing approaches, we establis…

cs.CV2021

Group Collaborative Learning for Co-Salient Object Detection

Qi Fan, Deng-Ping Fan, Huazhu Fu +3

We present a novel group collaborative learning framework (GCoNet) capable of detecting co-salient objects in real time (16ms), by simultaneously mining consensus representations a…

cs.CV2021

Deep Video Matting via Spatio-Temporal Alignment and Aggregation

Yanan Sun, Guanzhi Wang, Qiao Gu +2

Despite the significant progress made by deep learning in natural image matting, there has been so far no representative work on deep learning for video matting due to the inherent…

cs.CV20213 cited

Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal

Zhen Wei, Bingkun Liu, Weinong Wang +1

Despite excellent progress has been made, the performance of deep learning based algorithms still heavily rely on specific datasets, which are difficult to extend due to labor-inte…

cs.CV20211 cited

Semantic Image Matting

Yanan Sun, Chi-Keung Tang, Yu-Wing Tai

Natural image matting separates the foreground from background in fractional occupancy which can be caused by highly transparent objects, complex foreground (e.g., net or tree), an…